Opening the paper…
Privacy and Security in Online Social Media, Quiz 2
Objective Type [1 Mark each]
Which of the following is an example of Latent Text Feature used in fake news detection? (MCQ)
A. Syntax Rules
B. Semantics
C. Word Embeddings (Word2Vec, BERT)
D. Sentiment Polarity
Which dataset contains fact-checked social media content across 14 languages (2013–2020)? (MCQ)
A. LIAR
B. NELA-GT
C. FakeNewsNet
D. FactDrill
Which system developed at IIIT Delhi aims to identify credible tweets automatically? (MCQ)
A. CredEye
B. TweetCred
C. Birdwatch
D. WhatsFarzi
............ a framework that assists users to control the linkability of their identities across multiple platforms.
What vulnerability does the Birdwatch system face according to the HawkEye paper? (MCQ)
A. Centralized data leakage
B. Algorithmic bias
C. Malicious user manipulation of note ratings
D. Dataset imbalance
What is "Identity Resolution" as described in the lecture? (MCQ)
A. Blocking identity theft
B. Developing a unified user profile across multiple platforms
C. Deleting online identities for privacy protection
D. Encrypting user identity to prevent leaks
Which of the following frameworks is/are used for fake news detection? (MSQ)
A. SpotFake
B. Deepfake
C. MVAE
D. IFCN
Which of the following best describes pseudonymization? (MCQ)
A. Replacing personally identifiable information with random data
B. Deleting personally identifiable information from the dataset
C. Replacing personally identifiable information with artificial identifiers
D. Encrypting personally identifiable information using strong encryption algorithms
What is the primary goal of using "Privacy Nudges" on social media platforms? (MCQ)
A. To increase the number of posts shared
B. To restrict user account access
C. To encourage responsible sharing and avoid regrettable disclosures
D. To block abusive content
Which of the following is not one of Westin's four states of privacy? (MCQ)
A. Solitude
B. Anonymity
C. Intimacy
D. Transparency
**Objective Type [1 Mark each]** 1. Which of the following is an example of Latent Text Feature used in fake news detection? (MCQ) A. Syntax Rules B. Semantics C. Word Embeddings (Word2Vec, BERT) D. Sentiment Polarity 2. Which dataset contains fact-checked social media content across 14 languages (2013–2020)? (MCQ) A. LIAR B. NELA-GT C. FakeNewsNet D. FactDrill 3. Which system developed at IIIT Delhi aims to identify credible tweets automatically? (MCQ) A. CredEye B. TweetCred C. Birdwatch D. WhatsFarzi 4. ............ a framework that assists users to control the linkability of their identities across multiple platforms. 5. What vulnerability does the Birdwatch system face according to the HawkEye paper? (MCQ) A. Centralized data leakage B. Algorithmic bias C. Malicious user manipulation of note ratings D. Dataset imbalance 6. What is "Identity Resolution" as described in the lecture? (MCQ) A. Blocking identity theft B. Developing a unified user profile across multiple platforms C. Deleting online identities for privacy protection D. Encrypting user identity to prevent leaks 7. Which of the following frameworks is/are used for fake news detection? (MSQ) A. SpotFake B. Deepfake C. MVAE D. IFCN 8. Which of the following best describes pseudonymization? (MCQ) A. Replacing personally identifiable information with random data B. Deleting personally identifiable information from the dataset C. Replacing personally identifiable information with artificial identifiers D. Encrypting personally identifiable information using strong encryption algorithms 9. What is the primary goal of using "Privacy Nudges" on social media platforms? (MCQ) A. To increase the number of posts shared B. To restrict user account access C. To encourage responsible sharing and avoid regrettable disclosures D. To block abusive content 10. Which of the following is not one of Westin's four states of privacy? (MCQ) A. Solitude B. Anonymity C. Intimacy D. Transparency **Short Answer Questions [3 Marks each]** 1. Compare and contrast text-based, image-based, and multimodal methods used in Fake News detection. Provide examples of models or research papers mentioned in the lecture for each. 2. Explain the components of Fake News and discuss how "non-physical" content features like purpose, sentiment, and topics can help in fake news detection. 3. Analyze the risks associated with publicly available contact information on online social networks. 4. Explain the concept of Virtual Private Networks (VPNs). Differentiate between Secure, Trusted, and Hybrid VPNs. 5. What are Privacy Enhancing Technologies (PETs)? Explain how they balance privacy and data utility with examples. **Long Answer Questions [5 Marks each]** 1. Discuss the challenges of detecting misinformation on encrypted platforms like WhatsApp. What role do public groups and tiplines play in mitigating these challenges? 2. What is Radicalization on social media? Discuss how algorithms and online communities can unintentionally fuel extremist behavior. 3. Describe the process of sourcing and aggregating Personally Identifiable Information (PII) from open government data. What are the associated risks? 4. Mention 3 Westin's privacy index. Give one persona for each. 5. Define Cybercrime and describe different categories of cybercrimes as explained in the lecture. Provide real-life examples for at least two types.